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AS@ayaanshaheer
Passionate data enthusiast with hands-on experience in machine learning.
IndiaI am a data enthusiast with a strong foundation in machine learning and AI solutions, particularly in fraud detection and data analysis. My journey in data science has equipped me with hands-on experience in developing predictive models and optimizing processes through automation. I thrive on solving complex problems and enjoy the challenge of turning data into actionable insights.
Throughout my academic career, I have successfully completed various projects, including a customer churn prediction system and a real-time object detection tracker. My work has involved utilizing advanced machine learning techniques, such as classification and anomaly detection, to enhance security and improve prediction accuracy. I am proficient in Python, scikit-learn, and cloud technologies, which I leverage to build robust data-driven solutions.
As a Data Analyst Intern at NullClass, I conducted comprehensive data analytics on Google Play Store app data, providing valuable insights into app ratings and user sentiment. I am eager to continue my journey in the data field, contributing to innovative projects that harness the power of data to drive business success.
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Work history, roles, and key accomplishments
NullClass
Nov 2024 - Dec 2024 (1 month)
Developed a real-time analytics project using Python to analyze Google Play Store app data, providing actionable insights on user sentiment, ratings, and installs. Utilized pandas, matplotlib, seaborn, and Power BI for comprehensive data cleaning, visualization, and interactive dashboard creation, while managing code with GitHub.
Self-Initiated Projects
Oct 2024 - Dec 2024 (2 months)
Developed and fine-tuned fraud detection models using Python and scikit-learn, significantly improving prediction accuracy. Conducted extensive data cleaning, feature engineering, and exploratory data analysis to identify key prediction factors and implemented GCN models for complex datasets.
NullClass
Nov 2024 - Present (1 year)
Developed a real-time analytics project using Python to analyze Google Play Store app data, providing insights on user sentiment, ratings, and installs. Utilized pandas, matplotlib, seaborn, and Power BI for data cleaning, visualization, and interactive dashboard creation. Managed code and documentation using GitHub and produced a comprehensive final project report.
Self-Employed
Oct 2024 - Present (1 year 1 month)
Developed and fine-tuned fraud detection models using Python and scikit-learn, improving prediction accuracy by 15%. Implemented GCN model using PyTorch Geometric for node classification tasks in complex datasets. Conducted data cleaning, feature engineering, and outlier detection using advanced ML techniques such as Isolation Forest.
Degrees, certifications, and relevant coursework
JHBachelor's Of Computer Application, Computer Application
Grade: 8.15 CGPA
Currently pursuing a Bachelor's of Computer Application, focusing on core computer science principles. Coursework includes AI, Machine Learning, Python, Java, C++, DBMS, and Computer Networking.
CCNA Course Completion, Computer Networking
Completed a CCNA course at PyNet Labs, gaining expertise in computer networking principles and practices. This program enhanced my understanding of network infrastructure and protocols.
Certificate, Computer Networking
Completed the CCNA course at PyNet Labs, gaining expertise in computer networking principles and practices. This program enhanced my understanding of network configuration and management.
Software and tools used professionally
IndiaYou can contact Ayaan and 90k+ other talented remote workers on Himalayas.
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